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World Bank Malawi ID ownership, female (% of female population ages 15+)

Annual World Bank time series for Malawi covering the indicator 'ID ownership, female (% of female population ages 15+)' (ID.OWN.TOTL.FE.ZS). Shared source metadata is preserved without merging separate indicators into one dataset file.

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10 May 2026
Updated

World Bank Malawi ID ownership, female (% of female population ages 15+) is a CSV dataset from World Bank, ingested into the Kafukufuku Data Hub with 3 parsed rows.

Annual World Bank time series for Malawi covering the indicator 'ID ownership, female (% of female population ages 15+)' (ID.OWN.TOTL.FE.ZS). Shared source metadata is preserved without merging separate indicators into one dataset file. The source is catalogued as worldbank indicator timeseries. Spatial granularity is national. It belongs to the worldbank malawi indicators collection. 1 indicators were detected during parsing. Geographic scope is MW.

Filename
wb_malawi_indicator_id_ownership_female_of_female_population_ages_15_ID.OWN.TOTL.FE.ZS_MW.csv
Indicators (1)
ID ownership, female (% of female population ages 15+)
Coverage Summary
No district or region labels were identified from the parsed rows.
Pipeline Lineage
Raw file
Completed
CSV · wb_malawi_indicator_id_ownership_female_of_female_population_ages_15_ID.OWN.TOTL.FE.ZS_MW.csv
Parse
Completed
3 rows parsed
Bronze
Created
3 bronze record(s)
Silver
Reviewed
3 silver record(s)
Published
Published
48 datamart record(s)
Published Domains
Population · 48
Recent Parse Jobs
Terms & Citation
Suggested Citation
World Bank. World Bank Malawi ID ownership, female (% of female population ages 15+). Kafukufuku Data Hub, coverage n.d.. Source: https://api.worldbank.org/v2/country/MW/indicator/ID.OWN.TOTL.FE.ZS.
No explicit license was captured during ingestion. Reuse should be checked against the original publisher terms.
The canonical source URL points to the upstream publisher or download location.
Schema
Sample Rows (3)
Data Quality Summary
These checks summarize coverage, consistency, and variable structure from parsed rows. Identifier-like columns and year/code fields are treated as categorical so averages are not shown where they would be misleading. Malawi-specific district/domain recognition rates are included to show how much of the file the pipeline can place and classify reliably.
Categorical Variables
All 1 Indicators
ID ownership, female (% of female population ages 15+)

About This File

Format CSV
Source World Bank
Created 10 May 2026
Updated 10 May 2026
Checksum (MD5) bd52f37b2d2fa1fdf2fe4fe0583e0958